نتایج جستجو برای: two lane
تعداد نتایج: 2442741 فیلتر نتایج به سال:
This paper proposes a technique for unwanted lane departure detection. Initially, lane boundaries are detected using a combination of the edge distribution function and a modified Hough transform. In the tracking stage, a linear-parabolic lane model is used: in the near vision field, a linear model is used to obtain robust information about lane orientation; in the far field, a quadratic functi...
– Motivated by an analogy with traffic, we simulate two species of particles ('vehicles'), moving stochastically in opposite directions on a two-lane ring road. Each species prefers one lane over the other, controlled by a parameter 0 ≤ b ≤ 1 such that b = 0 corresponds to random lane choice and b = 1 to perfect 'laning'. We find that the system displays one large cluster ('jam') whose size inc...
In this project, we designed an advanced driver assistant system with three functions: traffic sign recognition, lane deviation detection, and car make identification. The traffic sign recognition implements Viola and Jones detector to accurately detect the traffic sign ahead. Hough transforms and edge detection are used in the lane deviation detection. For vehicle make identification, two mode...
Robustly extracting the features of lane markings under different lighting and weather conditions such as shadows, glows, sunset and night is the a key technology of the lane departure warning system (LDWS). In this paper, we propose a robust lane marking feature extraction method. By useing the characteristics of the lane marking to detect candidate areas. The final lane marking features are e...
The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...
This article introduces the Alabama Freeway Incident Detection System-Incident Detection Module (AFIDS-IDM) as a methodology for the detection of freeway incidents. AFIDS-IDM invokes fuzzy cluster analysis in the identification of lane blocking incidents from comparisons of time varying patterns of incident induced and incident free traffic states. Lane traffic counts and density, collected at ...
Based on microscopic traffic characteristics of two-lane highway and different driving characteristics for drivers, the characteristics of drivers and vehicle structure are introduced into Cellular Automation model for establishing new Cellular Automation model of two-lane highway. Through computer simulation, the paper analyzes the effect of the promotion of different vehicles, drivers and arr...
Introduction: Driving is a complex task engaging high level of cognitive and motor processes. Adding to this complexity, engagement in cognitive secondary tasks such as talking with other passengers, speaking on the cell phone or listening to radio may effect driving performance. In addition, age-related cognitive limitations may adversely challenge driving performance. As the number of elderly...
and reference the set of actual center-of-lane paths (Lane Segments). The Mobility control module managesthis relationship by constantly updating the list of Lane Segments for a particular Lane Element based on real-timesensing of the lane position and curvature Intelligent Control of Mobility Systems 249 Right Turnat3-wayIntersectionOwn Vehicle’s Path
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